Postdoc Position in Machine Learning for Audio Signal Processing

At the Audio Signal Processing Group, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany, a fully funded postdoc position (100%, funded according to the German public service salary level TVL-E13) is available for a 2-year period from now on, with the possibility of extension subject to continued funding.

We are looking for researchers with an excellent PhD in electrical engineering, computer science, physics, or mathematics. A strong background in statistical signal processing as well as familiarity with state-of-the-art machine learning techniques are expected. Prior experience in speech and audio signal processing is a definite plus. English language proficiency and programming skills in Matlab or Python, and C/C++ are required.

The goal of the project is to advance the development of data-driven techniques for real-time acoustic signal processing tasks, such as system identification, signal enhancement and source separation. Significant results will be presented at leading conferences and published in high-impact journals.  

The University Erlangen-Nuremberg aims at an increase of female staff members and hence encourages qualified women to apply. The application of qualified persons with handicaps is also encouraged.

Please send your application, containing CV, Master's transcript, PhD certificate, motivation letter, electronic copies of up to three relevant publications, and the email addresses of at least two references to walter.kellermann@fau.de at your earliest convenience. Position will be open until filled.